google/gemma-4-e4b-it-qat
LM-STUDIO GGUFgemma4 · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 18, 2026 · Apple M4 Max
Global Score
78 vs 81
Hardware Fit
68 vs 68
Quality Score
82 vs 87
Hardware
google/gemma-4-e4b… qwen/qwen3.8-27b
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M4 Max
Cores1616
RAM15 GB128 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4 Max
OSUbuntu 26.04 LTSmacOS 26.5.2
Archx64arm64
Power Modeperformancebalanced
Performance
google/gemma-4-e4b… qwen/qwen3.8-27b
Tokens/sec11.416.4
First chunk26 ms5 ms
TTFT2.2 s742 ms
Load time5.9 sN/A
Memory usage0.0 GB38.5 GB
Memory %0%30%
HW Fit Score Breakdown
google/gemma-4-e4b-it-qat
Speed
21/50
TTFT
17/20
Memory
30/30
qwen/qwen3.8-27b
Speed
18/50
TTFT
20/20
Memory
30/30
Quality
google/gemma-4-e4b-it-qat
Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen/qwen3.8-27b
Reasoning
17/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest